class: center, middle, inverse, title-slide .title[ # Current Projects ] .author[ ### Jean Clipperton ] .date[ ### 2023-10-11 ] --- # About me! * Trained as political scientist * Background in math / philosophy * Love for **agent-based models** and **data visualization** --- # Current work : Two main projects * Housing (*new project!*) -- * Taylor Swift --- # Housing in MPLS: 2040 plan * **Minneapolis' 2040 plan** effectively bans new single-family homes through zoning approaches * Plan in limbo but question remains: is this an **effective way to address affordable and accessible housing**? --- # Project: Carrots and Sticks (housing policy in minneapolis) * **Agent-Based Model**: parameters of the city -- * Aiming for a complex but not 100% realistic rendering -- * Hoping to **calibrate with local data** but we'll see --- # Phases * Setup of model -- * Predict response to announcement of policy (compare movement to explore if people /prices shift) -- * Test **multiple housing policies** to explore * Ban (e.g. MPLS 2040) * Incentives for new (re) development * Penalties or costs for low density development -- * Explore **discourse around policy** * LA development * Office building redevelopment (NYC) --- class: center # Taylor Swift <img src="data:image/png;base64,#https://64.media.tumblr.com/b1b379fe983f77ad8ce62411ed0328db/cd645e56f1547b02-90/s640x960/82c3c608de0e02eb2f053b4a6f881ced331c08e0.gifv" width="100%" style="display: block; margin: auto;" /> --- # Project overview * **Lyrics** of all work (focusing on original studio recordings -- e.g. no Taylor's Version except for tour info) * Data on **Eras Tour** --- # Guiding questions: * What can we learn about **Swift's work**? -- * How has her work **changed over time**? -- * How can we think about the Eras Tour w/r/t how an **artist imagines and packages their work**? --- class: center, middle # Preliminary findings --- # Overall body of work * Dominant words * Sentiment * Positive / negative words --- # Frequent words <img src="data:image/png;base64,#../img/ts_frequent_words.png" width="85%" /> Above we see that her work is **overwhelmingly about love** (which tracks, given her reputation for writing about breakup songs). We also see some simple words that are recognizable given the structure of her songs. Let's dig deeper! --- # Overall sentiment <img src="data:image/png;base64,#../img/ts_sentiment_overall.png" width="75%" style="display: block; margin: auto;" /> More positive sentiment than negative, but general balance: loosely structured from most negative to most positive sentiments. --- # Positive / negative words <img src="data:image/png;base64,#../img/ts_sentiment.png" width="80%" /> *future work: explore use of* **like** *in work* --- class: center # By album **(temporal exploration)** <img src="data:image/png;base64,#https://64.media.tumblr.com/0101577cd3b0ae823f4100d4b66630bb/6cc4c8bb51e8a7c6-fa/s640x960/f2b5970caf31fc6e03a289420cc09a781968dca7.gifv" width="45%" style="display: block; margin: auto;" /> --- # Frequent words <img src="data:image/png;base64,#../img/ts_idf_words.png" width="75%" style="display: block; margin: auto;" /> We can see three things: a) **song-specific words** (repetive song structure), b) **language evolution** from more fanciful to more 'direct' language, and c) lots of **evocative nouns**, particularly in her more 'country' work and her more 'story' albums (evermore and folklore). --- # DIFFERENCE in average sentiment <img src="data:image/png;base64,#../img/ts_sentiment_album_diff.png" width="100%" style="display: block; margin: auto;" /> These are very preliminary but suggest that her **later work is more emotionally charged** than her earlier work -- here, we're looking at differences from the average. --- # Positive / negative words <img src="data:image/png;base64,#../img/ts_negative_words_album.png" width="75%" style="display: block; margin: auto;" /> As in the case of the overall evolution, we see much **more mature language **here (wrong and stupid vs shit and regret). --- # Positive / negative words <img src="data:image/png;base64,#../img/ts_positive_words_album.png" width="75%" style="display: block; margin: auto;" /> Two things: a) **consistency** (like and love) and b) **more imaginative vs direct** (perfect, beautiful vs pretty, great, best). --- # Track five <img src="data:image/png;base64,#../img/ts_sentiment_album.png" width="75%" style="display: block; margin: auto;" /> Look at bar height and distribution to explore whether some tracks tend to be more positive, negative, and/or more range. We don't see that Track 5 are the most personal (maybe Track 6?). **Track 11 seems to be the 'glitter pen' songs.** --- # Next steps * Digging more into literature * Incorporating Eras setlist (separate: what is / not included) * Additional data (album measures (PCA), TikTok data) <img src="data:image/png;base64,#https://media.giphy.com/media/tNTq5fw9apN2OzZID9/giphy.gif" width="80%" style="display: block; margin: auto;" />